Literature DB >> 29391284

Unexplained Practice Variation in Primary Care Providers' Concern for Pediatric Obstructive Sleep Apnea.

Sarah Morsbach Honaker1, Tamara Dugan2, Ameet Daftary3, Stephanie Davis3, Chandan Saha4, Fitsum Baye4, Emily Freeman5, Stephen M Downs2.   

Abstract

OBJECTIVE: To examine primary care provider (PCP) screening practice for obstructive sleep apnea (OSA) and predictive factors for screening habits. A secondary objective was to describe the polysomnography completion proportion and outcome. We hypothesized that both provider and child health factors would predict PCP suspicion of OSA.
METHODS: A computer decision support system that automated screening for snoring was implemented in 5 urban primary care clinics in Indianapolis, Indiana. We studied 1086 snoring children aged 1 to 11 years seen by 26 PCPs. We used logistic regression to examine the association between PCP suspicion of OSA and child demographics, child health characteristics, provider characteristics, and clinic site.
RESULTS: PCPs suspected OSA in 20% of snoring children. Factors predicting PCP concern for OSA included clinic site (P < .01; odds ratio [OR] = 0.13), Spanish language (P < .01; OR = 0.53), provider training (P = .01; OR = 10.19), number of training years (P = .01; OR = 4.26) and child age (P < .01), with the youngest children least likely to elicit PCP concern for OSA (OR = 0.20). No patient health factors (eg, obesity) were significantly predictive. Proportions of OSA suspicion were variable between clinic sites (range, 6-28%) and between specific providers (range, 0-63%). Of children referred for polysomnography (n = 100), 61% completed the study. Of these, 67% had OSA.
CONCLUSIONS: Results suggest unexplained small area practice variation in PCP concern for OSA among snoring children. It is likely that many children at risk for OSA remain unidentified. An important next step is to evaluate interventions to support PCPs in evidence-based OSA identification.
Copyright © 2018 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  computer decision support; obstructive sleep apnea; pediatric; primary care provider; sleep disorders

Mesh:

Year:  2018        PMID: 29391284     DOI: 10.1016/j.acap.2018.01.011

Source DB:  PubMed          Journal:  Acad Pediatr        ISSN: 1876-2859            Impact factor:   3.107


  6 in total

1.  Cumulative socio-demographic risk factors and sleep outcomes in early childhood.

Authors:  Ariel A Williamson; Jodi A Mindell
Journal:  Sleep       Date:  2020-03-12       Impact factor: 5.849

2.  Yonder: Chronic pain, asthma, obstructive sleep apnoea, and methadone prescribing.

Authors:  Ahmed Rashid
Journal:  Br J Gen Pract       Date:  2018-05       Impact factor: 5.386

3.  The Use of Computer Decision Support for Pediatric Obstructive Sleep Apnea Detection in Primary Care.

Authors:  Sarah M Honaker; Ashley Street; Ameet S Daftary; Stephen M Downs
Journal:  J Clin Sleep Med       Date:  2019-03-15       Impact factor: 4.062

4.  "It made all the difference": a qualitative study of parental experiences with pediatric obstructive sleep apnea detection.

Authors:  Sarah M Honaker; Akila Gopalkrishnan; Maria Brann; Sarah Wiehe; Ann A Clark; Alicia Chung
Journal:  J Clin Sleep Med       Date:  2022-08-01       Impact factor: 4.324

5.  A Stimulus Package to Address the Pediatric Sleep Debt Crisis in the United States.

Authors:  Ariel A Williamson; Lisa J Meltzer; Alexander G Fiks
Journal:  JAMA Pediatr       Date:  2020-02-01       Impact factor: 16.193

Review 6.  Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review.

Authors:  Van C Willis; Kelly Jean Thomas Craig; Yalda Jabbarpour; Elisabeth L Scheufele; Yull E Arriaga; Monica Ajinkya; Kyu B Rhee; Andrew Bazemore
Journal:  JMIR Med Inform       Date:  2022-01-21
  6 in total

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